Xiang Lorraine Li

Assistant Professor, University of Pittsburgh

Joined

September 2018

Names

Xiang Lorraine Li (Preferred)

Xiang Li

Emails

****@cs.umass.edu (Confirmed)

****@gmail.com (Confirmed)

****@allenai.org (Confirmed)

****@pitt.edu (Confirmed)

Personal Links

Career & Education History

Assistant Professor

University of Pittsburgh (pitt.edu)

2023 – 2026

Postdoc

Allen Institute for Artificial Intelligence (allenai.org)

2022 – 2023

PhD student

Department of Computer Science, University of Massachusetts, Amherst (cs.umass.edu)

2016 – 2022

Advisors, Relations & Conflicts

PhD Advisor

Andrew McCallum

2016 – 2022

Coworker

Luke Vilnis

2016 – 2022

Expertise

NLP

2016 – 2030

Knowledge Base

2016 – 2030

Commonsense Reasoning

2016 – 2030

Publications

Word2Box: Capturing Set-Theoretic Semantics of Words using Box Embeddings
Shib Sankar Dasgupta, Michael Boratko, Siddhartha Mishra, Shriya Atmakuri, Dhruvesh Patel, Xiang Li, Andrew McCallum
- 2022 (modified: 28 Oct 2022)
- ACL (1) 2022
- Readers: Everyone
A Systematic Investigation of Commonsense Knowledge in Large Language Models
Xiang Lorraine Li, Adhiguna Kuncoro, Jordan Hoffmann, Cyprien de Masson d'Autume, Phil Blunsom, Aida Nematzadeh
- 2022 (modified: 24 Apr 2023)
- EMNLP 2022
- Readers: Everyone
Probabilistic Box Embeddings for Uncertain Knowledge Graph Reasoning
Xuelu Chen, Michael Boratko, Muhao Chen, Shib Sankar Dasgupta, Xiang Lorraine Li, Andrew McCallum
- 2021 (modified: 06 Aug 2025)
- CoRR 2021
- Readers: Everyone
Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval
Wenhan Xiong, Xiang Lorraine Li, Srini Iyer, Jingfei Du, Patrick S. H. Lewis, William Yang Wang, Yashar Mehdad, Scott Yih, Sebastian Riedel, Douwe Kiela, Barlas Oguz
- 2021 (modified: 14 Jan 2022)
- ICLR 2021
- Readers: Everyone
Probabilistic Box Embeddings for Uncertain Knowledge Graph Reasoning
Xuelu Chen, Michael Boratko, Muhao Chen, Shib Sankar Dasgupta, Xiang Lorraine Li, Andrew McCallum
- 2021 (modified: 28 Jan 2022)
- NAACL-HLT 2021
- Readers: Everyone
Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Jack W. Rae, Sebastian Borgeaud, Trevor Cai, Katie Millican, Jordan Hoffmann, H. Francis Song, John Aslanides, Sarah Henderson, Roman Ring, Susannah Young, Eliza Rutherford, Tom Hennigan, Jacob Menick, Albin Cassirer, Richard Powell, George van den Driessche, Lisa Anne Hendricks, Maribeth Rauh, Po-Sen Huang, Amelia Glaese et al. (60 additional authors not shown)
- 2021 (modified: 26 Feb 2022)
- CoRR 2021
- Readers: Everyone
Word2Box: Learning Word Representation Using Box Embeddings
Shib Sankar Dasgupta, Michael Boratko, Shriya Atmakuri, Xiang Lorraine Li, Dhruvesh Patel, Andrew McCallum
- 2021 (modified: 09 Mar 2022)
- CoRR 2021
- Readers: Everyone
Box-To-Box Transformations for Modeling Joint Hierarchies
Shib Sankar Dasgupta, Xiang Lorraine Li, Michael Boratko, Dongxu Zhang, Andrew McCallum
- 2021 (modified: 28 Oct 2022)
- RepL4NLP@ACL-IJCNLP 2021
- Readers: Everyone
Looking Beyond Sentence-Level Natural Language Inference for Question Answering and Text Summarization
Anshuman Mishra, Dhruvesh Patel, Aparna Vijayakumar, Xiang Lorraine Li, Pavan Kapanipathi, Kartik Talamadupula
- 2021 (modified: 20 Apr 2023)
- NAACL-HLT 2021
- Readers: Everyone
Box-To-Box Transformation for Modeling Joint Hierarchies
Shib Sankar Dasgupta, Xiang Li, Michael Boratko, Dongxu Zhang, Andrew McCallum
- 28 Sept 2020 (modified: 05 May 2023)
- ICLR 2021 Conference Blind Submission
- Readers: Everyone

View all 21 publications

Co-Authors

View all 111 co-authors